Ijeoma Mary Ugochukwu-Ibe
E-learning and COVID-19: the Nigerian experience: challenges of teaching technical courses in tertiary institutions.
Ugochukwu-Ibe, Ijeoma Mary; Ibeke, Ebuka
Authors
Dr Ebuka Ibeke e.ibeke@rgu.ac.uk
Lecturer
Contributors
Endrit Xhina
Editor
Klesti Hoxha
Editor
Abstract
This paper examines the challenges of teaching technical courses through e-learning in Nigerian tertiary institutions during the COVID-19 pandemic lockdown. The COVID-19 pandemic has widespread after-effect on education systems all over the world, with Nigeria, not an exception. Lack of the requirements needed for remote education during the world-wide lockdown caused by the COVID-19 pandemic has impeded teaching and learning. In the underdeveloped world, home education worked well for a few students who had adequate resources accessible to them and were adaptable to remote learning. This has not just affected teaching and learning but has posed a big problem in teaching technical courses. Problems associated with teaching technical courses in Nigeria during the pandemic lockdown especially the difficulties in handling practical and technical processes online is discussed. Students and educators at different programmes at the Federal Polytechnic Nekede Owerri, Nigeria will be interviewed to ascertain the most pressing problems. The paper will also proffer possible solutions through its recommendations at the different levels of the concerned stakeholders in the Nigerian education sector.
Citation
UGOCHUKWU-IBE, I.M. and IBEKE, E. 2021. E-learning and COVID-19: the Nigerian experience: challenges of teaching technical courses in tertiary institutions. In Xhina, E. and Hoxha, K. (eds.) Recent trends and applications in computer science and information technology: proceedings of 4th Recent trends and applications in computer science and information technology international conference 2021 (RTA-CSIT 2021), 21-22 May 2021 [virtual conference]. CEUR workshop proceedings, 2872. Aachen: CEUR-WS [online], pages 46-51. Available from: http://ceur-ws.org/Vol-2872/paper07.pdf
Presentation Conference Type | Conference Paper (published) |
---|---|
Conference Name | 4th Recent trends and applications in computer science and information technology international conference 2021 (RTA-CSIT 2021) |
Start Date | May 21, 2021 |
End Date | May 22, 2021 |
Acceptance Date | Apr 14, 2021 |
Online Publication Date | Jun 1, 2021 |
Publication Date | Jun 1, 2021 |
Deposit Date | Apr 20, 2021 |
Publicly Available Date | Jul 2, 2021 |
Publisher | CEUR-WS |
Peer Reviewed | Peer Reviewed |
Pages | 46-51 |
Series Title | CEUR workshop proceedings |
Series Number | 2872 |
Series ISSN | 1613-0073 |
Book Title | Recent trends and applications in computer science and information technology: proceedings of the 4th international conference on recent trends and applications in computer science and information technology 2021 (RTA-CSIT 2021) |
Keywords | E-learning; COVID-19; Technical courses; Tertiary institutions; Students; Educators |
Public URL | https://rgu-repository.worktribe.com/output/1317762 |
Publisher URL | http://ceur-ws.org/Vol-2872/ |
Files
UGOCHUKWU-IBE 2021 E-learning and COVID (VOR v2)
(411 Kb)
PDF
Publisher Licence URL
https://creativecommons.org/licenses/by/4.0/
You might also like
Using entropy to measure text readability in Bahasa Malaysia for year one students.
(2024)
Journal Article
Agriculture in Africa: the emerging role of artificial intelligence.
(2023)
Book Chapter
Maintaining privacy for a recommender system diagnosis using blockchain and deep learning.
(2023)
Journal Article
Downloadable Citations
About OpenAIR@RGU
Administrator e-mail: publications@rgu.ac.uk
This application uses the following open-source libraries:
SheetJS Community Edition
Apache License Version 2.0 (http://www.apache.org/licenses/)
PDF.js
Apache License Version 2.0 (http://www.apache.org/licenses/)
Font Awesome
SIL OFL 1.1 (http://scripts.sil.org/OFL)
MIT License (http://opensource.org/licenses/mit-license.html)
CC BY 3.0 ( http://creativecommons.org/licenses/by/3.0/)
Powered by Worktribe © 2025
Advanced Search